releasing 0.8.1

CHANGELOG.md

@@ -4,35 +4,25 @@ All notable changes to this project will be documented in this file.
 
 The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
-## [Unreleased] - YYYY-MM-DD
+## [0.8.1] - 2022-11-08
 
 ### Added
 
 - Added support for CLIP backbones to the `TextClassifier` and `ImageClassifier` tasks ([#1458](https://github.com/Lightning-AI/lightning-flash/pull/1458))
 
-
-### Changed
-
-
-### Deprecated
-
-
-### Removed
-
-
 ### Fixed
 
 - Fixed compatibility with `lightning==1.8.0` ([#1479](https://github.com/Lightning-AI/lightning-flash/pull/1479))
 - Fixed the error message to suggest installing `icevision`, if it's not found while loading data ([#1474](https://github.com/Lightning-AI/lightning-flash/pull/1474))
-- Fixed compatibility with `torchmetrics==1.10.0` ([#1469](https://github.com/Lightning-AI/lightning-flash/pull/1469))
+- Fixed compatibility with `torchmetrics==0.10.0` ([#1469](https://github.com/Lightning-AI/lightning-flash/pull/1469))
 
 
 ## [0.8.0] - 2022-09-02
 
 ### Added
 
 - Added support for `from_tensors` for `VideoClassification` ([#1389](https://github.com/Lightning-AI/lightning-flash/pull/1389))
-- Added fine tuning strategies for DeepSpeed (with parameter loading and storing omitted) ([#1377](https://github.com/Lightning-AI/lightning-flash/pull/1377))
+- Added fine-tuning strategies for DeepSpeed (with parameter loading and storing omitted) ([#1377](https://github.com/Lightning-AI/lightning-flash/pull/1377))
 - Added `torchvision` as a requirement to `datatype_audio.txt` as it's used for Audio Classification ([#1425](https://github.com/Lightning-AI/lightning-flash/pull/1425))
 - Added `figsize` and `limit_nb_samples` for showing batch images ([#1381](https://github.com/Lightning-AI/lightning-flash/pull/1381))
 - Added support for `from_lists` for Tabular Classification and Regression ([#1337](https://github.com/PyTorchLightning/lightning-flash/pull/1337))
@@ -55,11 +45,11 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Removed
 
-- Removed support for audio files with `sd2` extension, because SoundFile (for sd2 extension) doesn't accept fsspec objects. ([#1409](https://github.com/Lightning-AI/lightning-flash/pull/1409))
+- Removed support for audio files with `sd2` extension, because SoundFile (for sd2 extension) doesn't accept fsspec objects ([#1409](https://github.com/Lightning-AI/lightning-flash/pull/1409))
 
 ### Fixed
 
-- Fixed when suitable error not being raised for image segmentation (kornia) ([#1425](https://github.com/Lightning-AI/lightning-flash/pull/1425)).
+- Fixed when suitable error not being raised for image segmentation (kornia) ([#1425](https://github.com/Lightning-AI/lightning-flash/pull/1425))
 - Fixed the script of integrating `lightning-flash` with `learn2learn` ([#1376](https://github.com/Lightning-AI/lightning-flash/pull/1383))
 - Fixed JIT tracing tests where the model class was not attached to the `Trainer` class ([#1410](https://github.com/Lightning-AI/lightning-flash/pull/1410))
 - Fixed examples for BaaL integration by removing usage of `on_<stage>_dataloader` hooks (removed in PL 1.7.0) ([#1410](https://github.com/Lightning-AI/lightning-flash/pull/1410))
@@ -68,7 +58,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed a bug where grayscale images were not properly converted to RGB when loaded. ([#1394](https://github.com/PyTorchLightning/lightning-flash/pull/1394))
 - Fixed a bug where size of mask for instance segmentation doesn't match to size of original image. ([#1353](https://github.com/PyTorchLightning/lightning-flash/pull/1353))
 - Fixed image classification data `show_train_batch` for subplots with rows > 1. ([#1339](https://github.com/PyTorchLightning/lightning-flash/pull/1315))
-- Fixed support for all the versions (including the latest and older) of `baal`. ([#1315](https://github.com/PyTorchLightning/lightning-flash/pull/1315))
+- Fixed support for all the versions (including the latest and older) of `baal` ([#1315](https://github.com/PyTorchLightning/lightning-flash/pull/1315))
 - Fixed a bug where a loaded `TabularClassifier` or `TabularRegressor` checkpoint could not be served ([#1324](https://github.com/PyTorchLightning/lightning-flash/pull/1324))
 - Fixed a bug where the `freeze_unfreeze` and `unfreeze_milestones` finetuning strategies could not be used in tandem with a `onecyclelr` LR scheduler ([#1329](https://github.com/PyTorchLightning/lightning-flash/pull/1329))
 - Fixed a bug where the backbone learning rate would be divided by 10 when unfrozen if using the `freeze_unfreeze` or `unfreeze_milestones` strategies ([#1329](https://github.com/PyTorchLightning/lightning-flash/pull/1329))
@@ -83,7 +73,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Fixed a bug where LR schedulers from HuggingFace could not be used with newer versions of PyTorch Lightning ([#1307](https://github.com/PyTorchLightning/lightning-flash/pull/1307))
 - Fixed a bug where the default Flash zero configurations for `ObjectDetector`, `InstanceSegmentation`, and `KeypointDetector` would error with the latest version of some requirements ([#1306](https://github.com/PyTorchLightning/lightning-flash/pull/1306))
-- Fixed plain `LightningModule` support for Flash data modules. ([#1281](https://github.com/PyTorchLightning/lightning-flash/pull/1281))
+- Fixed plain `LightningModule` support for Flash data modules ([#1281](https://github.com/PyTorchLightning/lightning-flash/pull/1281))
 
 
 ## [0.7.3] - 2022-04-13
@@ -116,7 +106,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Added
 
-- Added the normalization parameters of ```torchvision.transforms.Normalize``` as ```transform_kwargs``` in the ```ImageClassificationInputTransform``` ([#1178](https://github.com/PyTorchLightning/lightning-flash/pull/1178))
+- Added the normalization parameters of `torchvision.transforms.Normalize` as `transform_kwargs` in the `ImageClassificationInputTransform` ([#1178](https://github.com/PyTorchLightning/lightning-flash/pull/1178))
 - Added `available_outputs` method to the `Task` ([#1206](https://github.com/PyTorchLightning/lightning-flash/pull/1206))
 
 ### Fixed
@@ -144,7 +134,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Changed
 
-- Changed `Wav2Vec2Processor` to `AutoProcessor` and seperate it from backbone [optional] ([#1075](https://github.com/PyTorchLightning/lightning-flash/pull/1075))
+- Changed `Wav2Vec2Processor` to `AutoProcessor` and separate it from backbone [optional] ([#1075](https://github.com/PyTorchLightning/lightning-flash/pull/1075))
 - Renamed `ClassificationInput` to `ClassificationInputMixin` ([#1116](https://github.com/PyTorchLightning/lightning-flash/pull/1116))
 - Changed the default `learning_rate` for all tasks to be `None`, corresponding to the default for your chosen optimizer ([#1172](https://github.com/PyTorchLightning/lightning-flash/pull/1172))
 

flash/__about__.py

@@ -1,4 +1,4 @@
-__version__ = "0.8.0"
+__version__ = "0.8.1"
 __author__ = "PyTorchLightning et al."
 __author_email__ = "[email protected]"
 __license__ = "Apache-2.0"